Magnetic levitation (MagLev) is a user‐friendly, electricity‐free, accurate, affordable, and label‐free platform for chemical and biological applications owing to its ability to suspend and separate a wide range of diamagnetic materials (e.g., plastics, polymers, cells, and proteins) based on their density. Various MagLev designs (e.g., standard, single and double ring, titled, and rotational MagLev setups) are presented in the literature with a trade‐off between sensitivity and detection range. Herein, various MagLev designs, the advantages and pitfalls of each method, and current challenges encountered by MagLev platforms are reviewed. Moreover, end applications of MagLev are presented in single‐cell and protein analysis, diseases diagnosis (e.g., cancer and hepatitis C), tissue engineering, 3D self‐assembly, and forensic case studies to provide an insight regarding the potentials of MagLev.

Magnetic levitation (MagLev) is a density-based method which uses magnets and a paramagnetic medium to suspend multiple objects simultaneously as a result of an equilibrium between gravitational, buoyancy, and magnetic forces acting on the particle. Early MagLev setups were bulky with a need for optical or fluorescence microscopes for imaging, confining portability, and accessibility. Here, we review design criteria and the most recent end-applications of portable smartphone-based and self-contained MagLev setups for density-based sorting and analysis of microparticles. Additionally, we review the most recent end applications of those setups, including disease diagnosis, cell sorting and characterization, protein detection, and point-of-care testing.

The loop‐mediated isothermal amplification (LAMP) method is one of the Nucleic acid amplification tests (NAATs) that allows for the amplification of target regions without using a thermal cycle. With its unique primer design, LAMP ensures the rapid replication of the targeted DNA region with high specificity and high efficiency. LAMP technology is used for diagnostic purposes in pathogen detection due to its ease of use, low cost, and simplicity without requiring complex equipment. A wide range of LAMP diagnostic platforms have been developed for applications in bacteria, virus, and parasitic pathogen detection. Herein, the methodology of LAMP technology and its applications in pathogen detection and SNP genotyping and mutation detection are discussed. Point‐of‐care (PoC) LAMP platforms designed with the principles of microfluidic chip technology, including LAMP‐on‐a‐chip, paper‐based LAMP, and smartphone‐based LAMP applications have been elaborated. LAMP technology represents a fast, robust, and reliable diagnostic platform for point‐of‐care testing.

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Microneedles (MNs) introduced a novel injection alternative to conventional needles, offering a decreased administration pain and phobia along with more efficient transdermal and intradermal drug delivery/sample collecting. 3D printing methods have emerged in the field of MNs for their time- and cost-efficient manufacturing. Tuning 3D printing parameters with artificial intelligence (AI), including machine learning (ML) and deep learning (DL), is an emerging multidisciplinary field for optimization of manufacturing biomedical devices. Herein, we presented an AI framework to assess and predict 3D-printed MN features. Biodegradable MNs were fabricated using fused deposition modeling (FDM) 3D printing technology followed by chemical etching to enhance their geometrical precision. DL was used for quality control and anomaly detection in the fabricated MNAs. Ten different MN designs and various etching exposure doses were used create a data library to train ML models for extraction of similarity metrics in order to predict new fabrication outcomes when the mentioned parameters were adjusted. The integration of AI-enabled prediction with 3D printed MNs will facilitate the development of new healthcare systems and advancement of MNs’ biomedical applications.